Key Responsibilities

• R&D: Own the discovery and development of new capabilities that expand [Employer hidden — sign up to reveal]’s core wasteful traffic prevention product and strengthen our value proposition for customers, from early prototyping through to production-ready MVP.
• Experimentation: Translate customer and product needs into concrete hypotheses, experiments, and POCs, refining solutions as they develop.
• Concept-to-Launch Delivery: Work closely with Engineering and Product to take new capabilities from concept through to launch, ensuring successful prototypes are translated into robust, maintainable, production-ready solutions.
• Pragmatic ML & AI Application: Apply machine learning and AI techniques pragmatically, focusing on areas where they deliver clear customer or product value, and carefully balancing implementation effort against expected impact.

What makes a great Senior Data Scientist at [Employer hidden — sign up to reveal]?

• Strong experience designing, deploying, and operating production-grade ML systems, with a proven ability to rapidly prototype ideas and translate them into scalable, production-ready solutions.
• Deep proficiency in Python and SQL, with strong experience working with large-scale datasets in cloud environments.
• Hands-on experience with LLM-based systems and applied AI workflows, including RAG, agentic architectures, and other NLP techniques.
• Strong product and systems thinking, with an eye for scalability, reliability, and explainability.
• Practical and pragmatic — able to balance technical depth with speed and business impact.

You’ll really thrive in this role if you have:

• Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift.
• Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement.
• Experience in Adtec, Media, or fraud detection.

About [Employer hidden — sign up to reveal]

[Employer hidden — sign up to reveal] is an AI driven advertising technology company that helps businesses understand and improve the quality of their digital advertising traffic. The platform identifies invalid and non human interactions, such as bots and click fraud that can distort performance data and waste marketing budgets.

[Employer hidden — sign up to reveal]’s service integrates with major digital advertising channels to provide transparency into traffic quality and enable more accurate campaign measurement. The business is aimed at performance focused advertisers, marketing teams and agencies that rely on paid media and data driven decision making.

Founded in 2016. Co-workers 50 - 100.

If you think you've got what it takes to be the next Senior Data Scientist at [Employer hidden — sign up to reveal] we can't wait to hear from you and have you join the journey!

Apply below by attaching your CV & Cover Letter